Swallow - Post-trained Japanese - M-IFEval-Ja: leaderboard

Metric: Instruction-Level Strict Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.

Top models

#ModelScore
1GPT-5 (Medium)90.7
2Gemma 4 31B (IT) (Thinking)89.8
3GPT-5.4 (Medium)88.1
4gemma-4-26B-A4B-it (Thinking)86.7
5O3 (2025-04-16) (Medium)85
6O3 Mini (Medium)84.1
7GPT-5 Mini (Medium)82.7
8Qwen 3 Next 80B A3B (Thinking)81.9
9GPT-4.181
10Qwen 3 235B A22B 2507 (Thinking)81
11Qwen 3.5 122B A10B (Thinking)77.4
12Qwen 3.5 27B (Thinking)73.5
13GPT-OSS-120B (Medium)73.5
14Qwen 3 235B A22B 2507 Instruct73
15GPT-OSS-20B (Medium)72.6

Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-japanese-m-ifeval-ja · How It Works · Data refreshed daily, snapshot 2026-09-19.